Cite
Machine-learning-based image analysis algorithms improve interpathologist concordance when scoring PD-L1 expression in non-small-cell lung cancer.
MLA
Haragan, Alexander, et al. “Machine-Learning-Based Image Analysis Algorithms Improve Interpathologist Concordance When Scoring PD-L1 Expression in Non-Small-Cell Lung Cancer.” Journal of Clinical Pathology, vol. 77, no. 2, Feb. 2024, pp. 140–44. EBSCOhost, https://doi.org/10.1136/jcp-2023-208978.
APA
Haragan, A., Parashar, P., Bury, D., Cross, G., & Gosney, J. R. (2024). Machine-learning-based image analysis algorithms improve interpathologist concordance when scoring PD-L1 expression in non-small-cell lung cancer. Journal of Clinical Pathology, 77(2), 140–144. https://doi.org/10.1136/jcp-2023-208978
Chicago
Haragan, Alexander, Piya Parashar, Danielle Bury, Gregory Cross, and John R. Gosney. 2024. “Machine-Learning-Based Image Analysis Algorithms Improve Interpathologist Concordance When Scoring PD-L1 Expression in Non-Small-Cell Lung Cancer.” Journal of Clinical Pathology 77 (2): 140–44. doi:10.1136/jcp-2023-208978.